| COVID-19 literature knowledge graph construction and drug repurposing report generation Q Wang, M Li, X Wang, N Parulian, G Han, J Ma, J Tu, Y Lin, H Zhang, ... Proceedings of the 2021 Annual Conference of the North American Chapter of …, 2020 | 131* | 2020 |
| Meta faster r-cnn: Towards accurate few-shot object detection with attentive feature alignment G Han, S Huang, J Ma, Y He, SF Chang Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 780-789, 2022 | 92 | 2022 |
| Query adaptive few-shot object detection with heterogeneous graph convolutional networks G Han, Y He, S Huang, J Ma, SF Chang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 76 | 2021 |
| Few-shot object detection with fully cross-transformer G Han, J Ma, S Huang, L Chen, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 69 | 2022 |
| Partner-assisted learning for few-shot image classification J Ma, H Xie, G Han, SF Chang, A Galstyan, W Abd-Almageed Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 47 | 2021 |
| The met dataset: Instance-level recognition for artworks NA Ypsilantis, N Garcia, G Han, S Ibrahimi, N Van Noord, G Tolias arXiv preprint arXiv:2202.01747, 2022 | 26 | 2022 |
| Task-adaptive negative envision for few-shot open-set recognition S Huang, J Ma, G Han, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| Revisiting Faster R-CNN: a deeper look at region proposal network G Han, X Zhang, C Li International Conference on Neural Information Processing, 14-24, 2017 | 22 | 2017 |
| Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting G Han, L Chen, J Ma, S Huang, R Chellappa, SF Chang arXiv preprint arXiv:2204.07841, 2022 | 13 | 2022 |
| Semi-supervised dff: Decoupling detection and feature flow for video object detectors G Han, X Zhang, C Li Proceedings of the 26th ACM international conference on Multimedia, 1811-1819, 2018 | 11 | 2018 |
| Single shot object detection with top-down refinement G Han, X Zhang, C Li 2017 IEEE International Conference on Image Processing (ICIP), 3360-3364, 2017 | 11 | 2017 |
| Explicit image caption editing Z Wang, L Chen, W Ma, G Han, Y Niu, J Shao, J Xiao European Conference on Computer Vision, 113-129, 2022 | 9 | 2022 |
| Supervised masked knowledge distillation for few-shot transformers H Lin, G Han, J Ma, S Huang, X Lin, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Weakly-Supervised Temporal Article Grounding L Chen, Y Niu, B Chen, X Lin, G Han, C Thomas, H Ayyubi, H Ji, ... The 2022 Conference on Empirical Methods in Natural Language Processing …, 2022 | 6 | 2022 |
| A real-time forward error correction of changing redundant packets' position for video transmission G Zhang, X Zhang, C Li, G Han 2016 3rd International Conference on Systems and Informatics (ICSAI), 755-761, 2016 | 6 | 2016 |
| TempCLR: Temporal Alignment Representation with Contrastive Learning Y Yang, J Ma, S Huang, L Chen, X Lin, G Han, SF Chang The Eleventh International Conference on Learning Representations (ICLR), 2023, 2022 | 3 | 2022 |
| Few-shot end-to-end object detection via constantly concentrated encoding across heads J Ma, G Han, S Huang, Y Yang, SF Chang European Conference on Computer Vision, 57-73, 2022 | 3 | 2022 |
| Rapidly adaptable automated interpretation of point-of-care COVID-19 diagnostics S Arumugam, J Ma, U Macar, G Han, K McAulay, D Ingram, A Ying, ... Communications Medicine 3 (1), 91, 2023 | 2* | 2023 |
| DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection J Ma, Y Niu, J Xu, S Huang, G Han, SF Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| SafeSwab, a sample collection and dispensing device for near-patient testing TE Grys, K McAulay, D Ingram, C Duffy, A Williams, S Arumugam, J Ma, ... medRxiv, 2021.08. 20.21262386, 2021 | 2 | 2021 |
Jiawei Phoenix MAPh.D in Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
